Dbms database models
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This document discusses different database models including hierarchical, network, entity-relationship, and relational models. The hierarchical model organizes data in a tree-like structure with parent-child relationships. The network model extends the hierarchical model by allowing nodes to have more than one parent. The entity-relationship model divides data into entities and attributes and represents relationships visually. The relational model, introduced by E.F. Codd in 1970, organizes data into two-dimensional tables related through common fields and is the most widely used database model today.
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Student POST Database processing models showcase the logical s.docx
Student POST Database processing models showcase the logical s.docxorlandov3 Student POST:
Database processing models showcase the logical structure of a database. The most commonly used model is the Relational database model that sorts the data in a table that consist of rows and columns. The column holds the attributes of the entity and rows hold the data of a particular instance of the entities. The major advantage of the Relational model is that it is in the table form and hence easier for users to understand, manage and work with the data. And, with the primary key and foreign key concepts, the data can be uniquely identified, stored in different entities and retrieved effectively with the relationships. The other advantage is that with the relational model, SQL language can be used to work with the data which is simple to understand and most widely used. The disadvantage of relational model could be the financial cost that is higher in comparison as the specific software needs to be in place and the regular maintenance needs to be performed that requires highly skilled manpower. And, the complexity of the database can be further increased when the volume of the data keep in increasing. Also, there is the limitation in the length of fields stored as different data types in relational model (Joseph & Paul, 2009).
The other processing model is the Object-oriented model that depicts database as the collection of objects. The advantage of this model is that it is compatible to work with complex data sets with the use of Object IDs and object-oriented programming. It’s disadvantage is that object databases are not commonly used and the complexity can hamper the performance of database. The other type of database model is the Entity-Relationship model which is mostly used for the conceptual design of database. It pictures the entities, several attributes that falls within the domain of that entity and the cardinality of relationship between them. It’s advantage is that the E-R diagram is easily understandable by the users at the first glance and thus can effectively work with the data in no time and can point out the discrepancies in the data. The other advantage is that it can be easily converted to other models if required by the business. The disadvantage of Entity-Relationship is that the industry standard notations for the diagram is not defined and thus can create confusion to the users. This model is only suitable for high-level database design (S.J.D.,2020).
2Nd Student POST :
Database models or commonly referred to as schemas help represent the structure of a database and its format which is run by a DBMS. Database model uses vary depending on user specifications.
Types of database models
1.
Network model
This network model uses a structure similar to that of a hierarchical model. The model permits multiple parents, which is a tree-like structure model. This model emphasizes two basic concepts; records and sets. Records hold file hierarchy and sets define the many-to-many relationship .
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DIFFERENT MODELS IN DBMS.pptxKavya990096 The document discusses several database management system (DBMS) models:
- Relational, network, hierarchical, object-oriented, and object-relational models are described as the main DBMS models.
- Key aspects of each model are covered, including data structure, relationships, querying capabilities, and advantages/disadvantages.
- Examples are provided for the relational model in the form of a sample table and for the hierarchical model in terms of its data structure and relationships.
- Overall the document provides a high-level overview and comparison of the main DBMS models.
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2) Relationships represent associations between entities. Relationships have properties like degree, cardinality, and existence.
3) Keys like primary keys and foreign keys uniquely identify entities and define relationships between entities.
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Here is the link of full article: https://www.support.dbagenesis.com/post/database-normalization
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Types of Database models and objectives of data base management system
Database Model
A set of rules and standards that define how data is organized.
Hierarchical Model
Network Model
Relational Model
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Objectives of DBMS
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Database Integrity
Data models
Data modelsHira Bukhari The document discusses several data models including flat file, hierarchical, network, relational, object-relational, and object-based models. It provides details on the flat file model, describing it as a single two-dimensional array containing data elements in columns and related elements in rows. The object-relational model combines relational and object-oriented features, allowing integration of databases with object-oriented data types and methods. The document also discusses the entity-relationship model, which is an object-based logical model that uses entities, attributes, and relationships to flexibly structure data and specify constraints.
Data models
Data modelsHira Bukhari The document discusses several data models including flat file, hierarchical, network, relational, object-relational, and object-based models. It provides details on the flat file model, describing it as a single two-dimensional array containing data elements in columns and related elements in rows. The object-relational model combines relational and object-oriented features, allowing integration of complex data types. The object-based model uses entities, attributes, and relationships, with the entity-relationship model being a commonly used object-based logical model.
Spatial Database and Database Management System
Spatial Database and Database Management SystemLal Mohammad This document discusses spatial databases and database management systems. It defines spatial data as data related to location, such as coordinates, and non-spatial data as descriptive attributes not defined by geometry alone, such as area or name. A spatial database is optimized to store and query spatial data using spatial indexes, queries, analysis and intelligence. A database management system allows users to define, construct and manipulate databases for applications through components like storage management and query processing. Different database models - hierarchical, network, relational and object-oriented - are described based on how data and relationships are represented.
Data models and ro
Data models and roDiana Diana - A data model is an abstraction that represents real-world objects and their relationships to help describe an organization's data requirements. It includes concepts for describing data, relationships between data, and constraints on the data.
- Early data models included the hierarchical and network models, which used pointers to represent physical relationships between records. This led to issues like data redundancy and an inability to easily change relationships.
- The relational model was developed to address limitations of earlier models by using logical relationships without pointers. It represented a significant improvement over previous approaches.
chapter 2-DATABASE SYSTEM CONCEPTS AND architecture [Autosaved].pdf![chapter 2-DATABASE SYSTEM CONCEPTS AND architecture [Autosaved].pdf](https://cdn.slidesharecdn.com/ss_thumbnails/chapter2-databasesystemconceptsandarchitectureautosaved-230512145134-613f7180-thumbnail.jpg?width=560&fit=bounds)
chapter 2-DATABASE SYSTEM CONCEPTS AND architecture [Autosaved].pdfUniversity of Gondar This document discusses database system concepts and architecture. It covers topics such as data models, schemas, and the three-schema architecture. Specifically, it describes different data models including hierarchical, network, relational, entity-relationship, and object-oriented models. It also distinguishes between database schemas, which define the structure and constraints of a database, and database instances, which represent the actual stored data.
2. Chapter Two.pdf
2. Chapter Two.pdffikadumola The document discusses database system architecture and data models. It introduces the three schema architecture which separates the conceptual, logical and internal schemas. This provides logical data independence where the conceptual schema can change without affecting external schemas or applications. It also discusses various data models like hierarchical, network, relational and object-oriented models. Key aspects of each model like structure, relationships and operations are summarized.
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Dbms database models
- 1. DBMS DATABASE MODELS Presented by:- Surender Sanjeev Harsh manish Presented to:- Arbind sharma
- 2. DATABASE MODELS A Database model defines the logical design and structure of a database and defines how data will be stored, accessed and updated in a database management system.
- 3. TYPES OF DATABASE MODELS:- Hierarchical Model Network Model Entity-relationship Model Relational Model
- 4. HIERARCHICAL MODEL This database model organizes data into a tree- like-structure, with a single root, to which all the other data is linked. The hierarchy starts from the Root data, and expands like a tree, adding child nodes to the parent nodes.
- 5. In hierarchical model, data is organized into tree-like structure with one one-to-many relationship between two different types of data, for example, one department can have many courses, many professors and of-course many students.
- 6. NETWORK MODEL This is an extension of the Hierarchical model. In this model data is organized more like a graph, and are allowed to have more than one parent node.
- 7. In this database model data is more related as more relationships are established in this database model. Also, as the data is more related, hence accessing the data is also easier and fast. This database model was used to map many-to-many data relationships.
- 8. ENTITY-RELATIONSHIP MODEL In this database model, relationships are created by dividing object of interest into entity and its characteristics into attributes.
- 9. E-R Models are defined to represent the relationships into pictorial form to make it easier for different stakeholders to understand. This model is good to design a database, which can then be turned into tables in relational model
- 10. RELATIONAL MODEL In this model, data is organized in two- dimensional tables and the relationship is maintained by storing a common field. This model was introduced by E.F Codd in 1970, and since then it has been the most widely used database model, infact, we can say the only database model used around the world.
- 11. The basic structure of data in the relational model is tables. All the information related to a particular type is stored in rows of that table. Hence, tables are also known as relations in relational model.
- 12. THANKS